30 Case Studies of Intelligent Algorithms in MATLAB
Source Code for 30 Intelligent Algorithm Case Studies in MATLAB
Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
Source Code for 30 Intelligent Algorithm Case Studies in MATLAB
MATLAB implementation of Random Walker image segmentation algorithm requiring Graph Analysis Toolbox installation (available at http://eslab.bu.edu/software/graphanalysis/), including a practical application example demonstrating the graph-based segmentation approach.
This MATLAB-developed source code implements steganography techniques to embed hidden data (such as images) within cover images using Discrete Fourier Transform (DFT) methodology. The implementation focuses on frequency-domain data concealment through DFT coefficient manipulation.
Source Code for "A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach" - Complete MATLAB/Simulink Implementation with Signal Processing Algorithms and Navigation Solutions
Complete MATLAB implementation of Bidirectional Associative Memory (BAM) neural network with pattern association and recall capabilities
SVM face recognition program source code includes s1-s40 face database, face.m as main recognition program, and load_database.m for data loading function. Note: LIBSVM toolbox functions require manual installation - first install compiler, then execute make.m for setup.
Beginner-friendly ROC curve plotting source code with detailed algorithmic explanations and implementation guidance
Implementation source code for HMAC (Hash-based Message Authentication Code) using SHA (Secure Hash Algorithm) with detailed technical explanations and code structure analysis.
High-quality Gaussian process source code implementing regression and classification with probabilistic predictions, featuring clear kernel functions and covariance matrix computations
KD-Tree is a widely adopted data structure particularly useful for nearest neighbor searches. This repository contains pure MATLAB source code that demonstrates KD-Tree implementation, construction methods, and search algorithms.